Estimation of thermophysical parameters revisited from the point of view of nonlinear regression with random parameters

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• 作者：Daniela Jaru&scaron ; ková ; ; ^{Daniela.Jaruskova@cvut.cz} ; Anna Kučerová ; ^{Anna.Kucerova@fsv.cvut.cz}
• 关键词：Estimation of thermal conductivities ; Non-linear regression with common factors ; Optimal design of experiment ; Monte Carlo simulations
• 刊名：International Journal of Heat and Mass Transfer
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：106
• 期：Complete
• 页码：135-141
• 全文大小：528 K
• 卷排序：106

文摘

A nonlinear inverse problem to estimate thermal conductivities is considered. An impact of random parameters on design of experiment is discussed. Effect of nuisance random parameters on estimated parameters is presented. Optimized experiment designs for nonlinear models should be verified by Monte Carlo. Four examples of experiment design optimization problem are presented.